深基坑自动化监测应用研究

Research on the Application of Automated Monitoring in Deep Excavation

摘要: 本文以深基坑工程为背景，系统研究了在线式测斜系统在基坑深层水平位移监测中的应用。该仪器融合传感技术、物联网与移动计算，可实现深层水平位移的自动采集、无线传输与云端处理。系统由数据采集、传输和处理三大模块组成，具备全天候、无人值守、实时监控等优势。工程应用中，在某基坑重点部位布设自动化监测点，并与人工监测点进行对比分析。结果表明，在线式测斜系统能够准确反映基坑围护结构的水平位移变化趋势，监测数据与人工监测成果具有高度相关性(相关系数分别达0.98和0.96)，差值在2 mm以内的占比超过92%。自动化监测数据曲线呈“半喇叭口状”，与实际工况吻合良好。在线式测斜系统不仅提升了监测效率，还保障了施工安全，具有显著的工程实用价值。

Abstract: This paper systematically studies the application of an online inclinometer system in the monitoring of deep horizontal displacement in foundation pits, taking the deep foundation pit engineering of subway tracks as the background. This instrument integrates sensing technology, the Internet of Things, and mobile computing, enabling automatic collection, wireless transmission, and cloud processing of deep horizontal displacement data. The system consists of three major modules: data collection, transmission, and processing, and possesses advantages such as all-weather operation, unattended operation, and real-time monitoring. In engineering applications, automated monitoring points were set up at key locations of a subway foundation pit and compared with manual monitoring points. The results indicate that the online inclinometer system can accurately reflect the trend of horizontal displacement changes in the foundation pit retaining structure. The monitoring data exhibits a high correlation with manual monitoring results (correlation coefficients of 0.98 and 0.96, respectively), with over 92% of the differences being within 2 mm. The automated monitoring data curve presents a “half-horn shape,” which aligns well with actual working conditions. The online inclinometer system not only enhances monitoring efficiency but also ensures construction safety, demonstrating significant practical engineering value.